Keyword and named entity recognition on air traffic control (ATC) data

This project will explore several NLP tasks to perform named entity recognition on Air Traffic Control data, to be specific Air Traffic conversations. We will use a Bi-LSTM-CNN-CRF based custom named entity system to detect the entities. A demonstration of the working model will be presented as well...

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Bibliographic Details
Main Author:	Thia, Jeremy Ming Xuan
Other Authors:	Chng Eng Siong
Format:	Final Year Project
Language:	English
Published:	2019
Subjects:	Engineering::Computer science and engineering::Computing methodologies::Document and text processing Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:	http://hdl.handle.net/10356/79003
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-79003
record_format	dspace
spelling	sg-ntu-dr.10356-790032023-03-03T20:29:20Z Keyword and named entity recognition on air traffic control (ATC) data Thia, Jeremy Ming Xuan Chng Eng Siong School of Computer Science and Engineering Engineering::Computer science and engineering::Computing methodologies::Document and text processing Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence This project will explore several NLP tasks to perform named entity recognition on Air Traffic Control data, to be specific Air Traffic conversations. We will use a Bi-LSTM-CNN-CRF based custom named entity system to detect the entities. A demonstration of the working model will be presented as well. Bachelor of Engineering (Computer Science) 2019-11-25T01:13:21Z 2019-11-25T01:13:21Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/79003 en Nanyang Technological University 35 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Engineering::Computer science and engineering::Computing methodologies::Document and text processing Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle	Engineering::Computer science and engineering::Computing methodologies::Document and text processing Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Thia, Jeremy Ming Xuan Keyword and named entity recognition on air traffic control (ATC) data
description	This project will explore several NLP tasks to perform named entity recognition on Air Traffic Control data, to be specific Air Traffic conversations. We will use a Bi-LSTM-CNN-CRF based custom named entity system to detect the entities. A demonstration of the working model will be presented as well.
author2	Chng Eng Siong
author_facet	Chng Eng Siong Thia, Jeremy Ming Xuan
format	Final Year Project
author	Thia, Jeremy Ming Xuan
author_sort	Thia, Jeremy Ming Xuan
title	Keyword and named entity recognition on air traffic control (ATC) data
title_short	Keyword and named entity recognition on air traffic control (ATC) data
title_full	Keyword and named entity recognition on air traffic control (ATC) data
title_fullStr	Keyword and named entity recognition on air traffic control (ATC) data
title_full_unstemmed	Keyword and named entity recognition on air traffic control (ATC) data
title_sort	keyword and named entity recognition on air traffic control (atc) data
publishDate	2019
url	http://hdl.handle.net/10356/79003
_version_	1759857886581751808

Keyword and named entity recognition on air traffic control (ATC) data

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